Establishes the Tennessee Artificial Intelligence Advisory Council to recommend AI action plans for state government, focusing on economic benefits, responsible use, labor market impacts, and transparency. Requires annual reports through 2028, with a final report due by December 31, 2028.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has minimal coverage of risk domains, with brief mentions of governance structures (6.5), labor market impacts (6.2), and transparency requirements (7.4). However, it primarily establishes an advisory council rather than addressing specific AI risks directly. Coverage is limited to 3-4 subdomains at minimal levels.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
This document primarily governs AI use within Public Administration (state and local government operations and services). It also addresses impacts across multiple economic sectors through its mandate to study labor market effects and economic opportunities, though it does not directly regulate AI use in those sectors.
Hard Law
Legislative Status Summary
This is a binding legislative act passed by the Tennessee General Assembly that creates a statutory advisory council with mandatory reporting requirements and specific deadlines.
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Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document addresses multiple AI lifecycle stages with primary focus on deployment and operation/monitoring of AI systems in government. It also covers planning and design through the development of governance frameworks and policies.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document provides a broad definition of artificial intelligence as 'models and systems' but does not distinguish between different types of AI such as frontier AI, general purpose AI, or generative AI. No compute thresholds or specific technical classifications are mentioned.
Document data from AGORA, CSET Emerging Technology Observatory.